Acer Aspire A715-75G
Geekbench AI Score
853
Single Precision Score
420
Half Precision Score
1229
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | FrankenStryker |
| Upload Date | August 28 2025 09:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9300H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A715-75G |
| Motherboard | CFL Azalea_FMS |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
573
106.6 IPS |
|
|
Image Classification (HP)
|
100% |
188
34.9 IPS |
|
|
Image Classification (Q)
|
96% |
980
183.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
272
4.41 IPS |
|
|
Image Segmentation (Q)
|
97% |
1222
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1113
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
913
1.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
2005
2.37 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
58% |
686
74.9 IPS |
|
|
Face Detection (SP)
|
100% |
1477
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
489
5.81 IPS |
|
|
Face Detection (Q)
|
96% |
1906
22.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1444
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
597
4.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
2217
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2928
3.76 IPS |
|
|
Style Transfer (HP)
|
100% |
1740
2.24 IPS |
|
|
Style Transfer (Q)
|
87% |
3370
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
484
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
381
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
817
30.3 IPS |
|
|
Text Classification (SP)
|
100% |
580
773.6 IPS |
|
|
Text Classification (HP)
|
100% |
297
395.8 IPS |
|
|
Text Classification (Q)
|
97% |
500
669.5 IPS |
|
|
Machine Translation (SP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (Q)
|
68% |
825
15.9 IPS |
